Build a Word Embedding Model based on Word2Vec for a given domain
A prerequisite to consider is to have installed Docker-Compose in your system.
You can run this service in a isolated way (see Distibuted Deployment section) or as extension of the api.
In that case, add the following services to the existing docker-compose.yml file:
modelerLDA:
container_name: modelerW2V
image: librairy/modeler-w2v
links:
- column-db
- document-db
- graph-db
- event-busand then, deploy it by typing:
$ docker-compose upThat's all!! modeler-w2v should be run in your system now along with librairy.
Instead of deploy all containers as a whole, you can deploy each of them independently. It is useful to run the service in a distributed way deployed in several host-machines.
- modelerLDA:
$ docker run -it --rm --name modelerW2V librairy/modeler-w2v
Remember that by using the flags: -it --rm, the services runs in foreground mode. Instead, you can deploy it in background mode as a domain service by using: -d --restart=always